Riot Games
Staff Data Scientist - AI Foundations, ML Bots
Riot Games, Los Angeles, California, United States, 90079
Staff Data Scientist - AI Foundations, ML Bots
On AI Foundations, our mission is to unlock cutting edge player experiences through the power of ML and AI technologies. Within this space, the ML Bots team partners with teams across Riot to accelerate the development and deployment of new machine learning & AI systems. We dive into diverse, high impact projects across Riot, and help take them from ideas to fully fledged features.
Responsibilities
Lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning (e.g., behavior cloning, inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components.
Lead the development, and deployment of in-game Game AI capabilities, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences.
You will create reusable training and evaluation pipelines that can be applied across multiple game genres while adapting to the unique constraints of each title.
Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability.
Collaborate with game and platform engineers, along with UX teams, to ensure the operational reliability of autonomous agents operating in live player environments.
Mentor junior and senior-level ML engineers, elevating expertise in advanced ML methods for game AI and guiding architectural and system-level decisions.
Contribute to and shape shared frameworks for autonomous agent development, accelerating adoption of best practices across Riot.
Required Qualifications
Extensive experience (5+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments such as game worlds or multi-agent simulations; Or if from academia, Ph.D. in a related field, with 3+ years experience.
Experience developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments.
Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments.
Experience with relevant ML methods, including reinforcement learning and imitation learning (such as behavior cloning and inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components.
Experience with experiment design, model evaluation, and optimization for autonomous agents.
Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices.
Experience mentoring engineers and collaborating with cross-disciplinary teams.
Familiarity with integrating ML-driven agents into live game environments with game and platform engineers.
Familiarity with MOBA game mechanics and their implications for agent design and evaluation.
Proficiency in Python and experience working with modern ML/data science libraries and frameworks (e.g. PyTorch/TensorFlow, pandas).
Our Perks Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
Equal Employment Opportunity It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Duties
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
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Responsibilities
Lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning (e.g., behavior cloning, inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components.
Lead the development, and deployment of in-game Game AI capabilities, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences.
You will create reusable training and evaluation pipelines that can be applied across multiple game genres while adapting to the unique constraints of each title.
Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability.
Collaborate with game and platform engineers, along with UX teams, to ensure the operational reliability of autonomous agents operating in live player environments.
Mentor junior and senior-level ML engineers, elevating expertise in advanced ML methods for game AI and guiding architectural and system-level decisions.
Contribute to and shape shared frameworks for autonomous agent development, accelerating adoption of best practices across Riot.
Required Qualifications
Extensive experience (5+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments such as game worlds or multi-agent simulations; Or if from academia, Ph.D. in a related field, with 3+ years experience.
Experience developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments.
Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments.
Experience with relevant ML methods, including reinforcement learning and imitation learning (such as behavior cloning and inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components.
Experience with experiment design, model evaluation, and optimization for autonomous agents.
Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices.
Experience mentoring engineers and collaborating with cross-disciplinary teams.
Familiarity with integrating ML-driven agents into live game environments with game and platform engineers.
Familiarity with MOBA game mechanics and their implications for agent design and evaluation.
Proficiency in Python and experience working with modern ML/data science libraries and frameworks (e.g. PyTorch/TensorFlow, pandas).
Our Perks Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
Equal Employment Opportunity It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Duties
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
#J-18808-Ljbffr